Foundry

Foundry MCP Server

A Model Context Protocol server for interacting with Foundry. It allows AI assistants to interact with datasets, ontology objects and functions.

Tools 🌟

list datasets
query datasets
list ontology objects
query ontology objects
list functions
execute functions

Prerequisites

Python 3.9+
mcp
pyarrow
pandas
foundry-platform-sdk

Environment Variables 🌍

The server requires few configuration variables to run:

Variable	Description	Default
`HOSTNAME`	Your hostname of your Foundry instance	required
`TOKEN`	A user token that you can generate in your profile page	required*
`CLIENT_ID`	A service user that is created in developer console	required*
`CLIENT_SECRET`	A secret associated with the service user	required*
`SCOPES`	Oauth scopes	None
`ONTOLOGY_ID`	Your ontology id	required

if token is not provided the server will try to authenticate using the oauth2 flow with client_id and client_secret

Usage

uv

first you need to clone the repository and add the config to your app

{
  "mcpServers": {
    "foundry": {
      "command": "uv",
      "args": [
        "--directory", 
        "<path_to_mcp_server>",
        "run",
        "mcp-server-foundry"
      ],
      "env": {
        "HOSTNAME": "<hostname>",
        "TOKEN": "<token>",
        "CLIENT_ID": "<client_id>",
        "CLIENT_SECRET": "<client_secret>",
        "SCOPES": "<scopes>",
        "ONTOLOGY_ID": "<ontology_id>"
      }
    }
  }
}

Development

To run the server in development mode:

# Clone the repository
git clone git@github.com:qwert666/mcp-server-foundry.git

# Run the server
npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-foundry-server run mcp-server-foundry

Contributing

Fork the repository
Create your feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add some amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

License 📜

MIT License - see LICENSE file for details